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在许多聚类应用中，数据对象是具有高维、稀疏、二元的特征。The data sets have features such as high-dimensional, sparseness and binary value in many clustering applications.

该方法保留了二元词串的较强类型分辨能力的特点，同时降低了特征的数据稀疏程度。This method preserves the strong power of bigram to distinguish class, while reduces the extent of data sparseness.

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结论G-MPI、室壁运动及室壁增厚率检测可提高前壁稀疏缺损的诊断准确性。Conclusion Wall motion and wall thickening by G-MPI can improve accuracy of diagnosing sparseness and defect of anterior wall.

首先，利用变换后信源的稀疏特征，采用一新的势函数通过聚类算法估计混叠矩阵。Based on the clustering method, the mixing matrix was first estimated by a new potential function using the sparseness of sources.

利用多尺度之间的内在联系及小波域中重要系数的稀疏性，有效改进了局部极值、计算量等问题。The calculation amount and local minimum are reduced taking advantage of sparseness of significant coefficients by wavelet transform.

以冠状动脉造影结果为标准，比较4种方法判断前壁稀疏缺损的准确性。Accuracy of the 4 methods was compared for sparseness and defect of anterior wall with reference to the results of coronary angiography.

实验证明该算法不仅提高了查询速度，而且占用的存储空间也较少，进一步减少了数据的稀疏。This algorithm not only improves search speed, but also needs a smaller space for data store than others and reduces the data sparseness.

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使用伪词可以避免有指导的词义消歧方法中的数据稀疏问题，充分验证词义分类器的实验效果。Using pseudowords we can overcome data sparseness problem in supervised WSD and fully verify the experimental effect of word sense classifier.

随着电子商务规模的进一步扩大，用户数目和文档资源急剧增加，导致用户数据的极端稀疏性。With the development of E-commerce, the magnitudes of users and Web documents grow rapidly, and result in the extreme data sparseness of users.

利用自然语言理解技术进行古汉语断句及句读标注的主要挑战是数据稀疏问题。Data sparseness is a primary challenge in sentence segmentation and punctuation in ancient Chinese using natural language processing technology.

该算法既利用了节点导纳矩阵的对角优势，又充分利用了稀疏结构的对称性。It takes full advantage of both the diagonally dominant property of the nodal admittance matrix and the symmetric property of sparseness structure.

针对语音信号的弱稀疏性，提出一种新的基于混合矩阵估计的欠定语音盲分离方法。This paper proposes a new method based on mixing matrix estimation for underdetermined blind speech separation, aiming at speech signals under weak sparseness.

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数据的稀疏性意味着社会网络并不总是可用，在这种情况下提出一种解决方案，很好地利用了社会网络的有效信息。Although the sparseness of the data may suggest that the social network is not always applicable, a solution to utilize the network in these cases is presented.

利用基函数稀疏性的极大值特点，本文提出一种改进的基于独立分量分析的图像特征提取算法。In this paper, an improved algorithm of image feature extracting for independent component analysis was proposed based on basic functions' maximization of sparseness.

支持向量回归机是一种解决回归问题的重要方法，其预测速度与支持向量的稀疏性成正比。Support Vector Regression is an important kind of method for regression problems. The predicting speed of Support Vector Regression is proportional to its sparseness.

Nano这样的稀有之物是受欢迎的，是对西方那些昂贵附加组件的叛逆，那些车变得和他们的车主一样智能。The sparseness of the Nano is in some ways a welcome counterblast to costly add-ons found in the west, where cars are becoming almost as intelligent as their drivers.

虽然高度凝练的语言和生动的电影般的意象会即刻将人吸引，但语言元素的简约却常常会被翻译得苍白乏味。His exquisite compression and vividly cinematic imagery are instantly attractive, but the elemental sparseness of his language can often be rendered as colourless and bland.

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该变换具有最优稀疏约束条件，能使一次波在一组基函数上的投影能量尽可能小。The transform is characterized by optimum sparseness constraint condition that makes the mapping energy of primary reflections on a set of basis function as small as possible.

为了克服LS-SVM解非稀疏性的缺点，同时抑制偏差较大的训练样本对海底趋势面构造的影响，提出一种基于局部样本中心距离的训练样本优化方法。In order to solve the sparseness of LS-SVM results and restrain the influence of the sample-outliers, a new method of optimized samples by part samples center distance is presented.

离群数据是数据中的小模式，因其固有的少数据与稀疏性等特征，使得基于距离或基于统计等常规聚类方式不适用于对离群数据的分类。General clustering approaches, such as distance-based and statistics-based, are not adapted to classification of outliers because of their characteristic of fewness data and sparseness.